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@ -20,8 +20,14 @@ It leverages rich and diverse priors encapsulated in a pretrained face GAN (*e.g
- :white_check_mark: We provide a *clean* version of GFPGAN, which does not require CUDA extensions. - :white_check_mark: We provide a *clean* version of GFPGAN, which does not require CUDA extensions.
- :white_check_mark: We provide an updated model without colorizing faces. - :white_check_mark: We provide an updated model without colorizing faces.
If GFPGAN is helpful in your photos/projects, please help to :star: this repo. Thanks:blush: <br> ---
Other recommended projects: &emsp; :arrow_forward: [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) &emsp; :arrow_forward: [BasicSR](https://github.com/xinntao/BasicSR) &emsp; :arrow_forward: [facexlib](https://github.com/xinntao/facexlib)
If GFPGAN is helpful in your photos/projects, please help to :star: this repo or recommend it to your friends. Thanks:blush:
Other recommended projects:<br>
:arrow_forward: [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN): A practical algorithm for general image restoration<br>
:arrow_forward: [BasicSR](https://github.com/xinntao/BasicSR): An ppen-source image and video restoration toolbox<br>
:arrow_forward: [facexlib](https://github.com/xinntao/facexlib): A collection that provides useful face-relation functions.<br>
:arrow_forward: [HandyView](https://github.com/xinntao/HandyView): A PyQt5-based image viewer that is handy for view and comparison. <br>
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